This project is a web-based application that uses FastAPI and Hugging Face's pre-trained GPT-2 model to provide health solutions based on user-reported symptoms. The user inputs a health problem, and the AI generates relevant health advice or tips based on that input.
- FastAPI Backend: Serves as the backend for the application, handling user input and providing responses.
- Hugging Face's GPT-2 Model: Generates health-related solutions based on user-reported symptoms.
- Simple UI: The frontend allows users to input their symptoms and receive AI-generated advice.
- No database: Uses the GPT-2 model to generate responses on the fly without relying on any database.
We face with commit with venv file upload. That's why we remove this file and compress zip and upload it.
- Download repository zip
- Unzip it
- create virtual environment
- install requirements.txt file
- run fasapi app
